Data Engineer

Data Engineer / London OR Newcastle / Hybrid / Permanent

We're recruiting an Azure Data Engineer to join a growing data function, playing a key role in designing, building, and maintaining scalable data infrastructure that supports analytics, insight, and automation across the organisation.

This is an opportunity to work on modern azure data platforms, integrating multiple data sources and enabling high-quality, accessible data for downstream users.

The Role

As a Data Engineer, you will:

Design, build, and maintain scalable data pipelines and ETL processes

Integrate structured and unstructured data from multiple internal and external sources

Ensure data quality, consistency, performance, and security across platforms

Collaborate with analytics engineers, data analysts, and stakeholders to support data modelling and transformation

Monitor, optimise, and troubleshoot data infrastructure and pipelines

Produce clear documentation of data architecture and engineering processes

Key Responsibilities

Build and manage robust data infrastructure for large-scale data ingestion and processing

Develop automated, reliable data pipelines aligned to best practices

Optimise ETL workflows for performance and scalability

Implement data governance, access controls, and security standards

Support self-service analytics by enabling clean, well-structured datasets

Proactively identify and resolve data issues and pipeline failures

Skills & Experience

Strong experience designing and building ETL workflows and data pipelines

Experience integrating data from APIs, databases, and cloud services

Solid understanding of data modelling and data warehousing concepts

Experience with relational and non-relational databases, including performance optimisation

If you're interested in the role, then please apply